RGB and Multispectral UAV image classification of agricultural fields using a machine learning algorithm
A common technique within image analysis is image classification which describes the process of reducing the information content of an image into few user-defined classes. With the emergence of unmanned aerial vehicles (UAVs), high spatial resolution (cm-level) images can be collected. This thesis aims at testing different methods for classifying UAV images from an agricultural crop site in the so
